{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"!wget https://setup.johnsnowlabs.com/nlu/kaggle.sh  -O - | bash\n! pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple peanut_butter_data_time==3.0.1rc63 > /dev/null \n# https://setup.johnsnowlabs.com/nlu/kaggle.sh \n\nimport nlu","metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"execution_count":6,"outputs":[{"name":"stdout","text":"--2021-05-04 05:52:22--  https://raw.githubusercontent.com/JohnSnowLabs/nlu/3.0.1rc1/scripts/kaggle_setup.sh\nResolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\nConnecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 1567 (1.5K) [text/plain]\nSaving to: ‘STDOUT’\n\n-                     0%[                    ]       0  --.-KB/s               setup Kaggle for PySpark 3.0.2 and Spark NLP 3.0.2\n-                   100%[===================>]   1.53K  --.-KB/s    in 0.001s  \n\n2021-05-04 05:52:22 (2.51 MB/s) - written to stdout [1567/1567]\n\nE: Failed to fetch http://security.ubuntu.com/ubuntu/pool/universe/o/openjdk-8/openjdk-8-jre-headless_8u252-b09-1~18.04_amd64.deb  404  Not Found [IP: 91.189.88.152 80]\nE: Failed to fetch http://security.ubuntu.com/ubuntu/pool/universe/o/openjdk-8/openjdk-8-jdk-headless_8u252-b09-1~18.04_amd64.deb  404  Not Found [IP: 91.189.88.152 80]\nE: Unable to fetch some archives, maybe run apt-get update or try with --fix-missing?\n  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n                                 Dload  Upload   Total   Spent    Left  Speed\n100  210M  100  210M    0     0  15.2M      0  0:00:13  0:00:13 --:--:-- 17.4M\n\u001b[33mWARNING: You are using pip version 20.1.1; however, version 21.1.1 is available.\nYou should consider upgrading via the '/opt/conda/bin/python3.7 -m pip install --upgrade pip' command.\u001b[0m\n\u001b[33mWARNING: You are using pip version 20.1.1; however, version 21.1.1 is available.\nYou should consider upgrading via the '/opt/conda/bin/python3.7 -m pip install --upgrade pip' command.\u001b[0m\n","output_type":"stream"}]},{"cell_type":"code","source":"import os\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\ndf = pd.read_csv(\"/kaggle/input/covid19-tweets/covid19_tweets.csv\").iloc[0:10000]\n","metadata":{"trusted":true},"execution_count":7,"outputs":[]},{"cell_type":"code","source":"import nlu\n\nemotion_predictions = nlu.load('emotion').predict(df, output_level='document')\nemotion_predictions['emotion'].value_counts().plot.bar(title='Predicted emotion label count in dataset')","metadata":{"trusted":true},"execution_count":8,"outputs":[{"name":"stdout","text":"classifierdl_use_emotion download started this may take some time.\nApproximate size to download 21.3 MB\n[OK!]\ntfhub_use download started this may take some time.\nApproximate size to download 923.7 MB\n[OK!]\nsentence_detector_dl download started this may take some time.\nApproximate size to download 354.6 KB\n[OK!]\n","output_type":"stream"},{"execution_count":8,"output_type":"execute_result","data":{"text/plain":"<matplotlib.axes._subplots.AxesSubplot at 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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"counts = emotion_predictions.groupby(['source'])['emotion'].value_counts()\ncounts[counts > 100].plot.bar(figsize=(20,8), title= 'Emotion tweet counts grouped by tweet device source')","metadata":{"trusted":true},"execution_count":9,"outputs":[{"execution_count":9,"output_type":"execute_result","data":{"text/plain":"<matplotlib.axes._subplots.AxesSubplot at 0x7fea9d78e8d0>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1440x576 with 1 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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"counts = emotion_predictions.groupby(['user_location'])['emotion'].value_counts()\ncounts[counts > 25].plot.bar(figsize=(20,6), title= 'Emotion tweet counts grouped by user location')","metadata":{"trusted":true},"execution_count":10,"outputs":[{"execution_count":10,"output_type":"execute_result","data":{"text/plain":"<matplotlib.axes._subplots.AxesSubplot at 0x7feaa02f1ed0>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1440x432 with 1 Axes>","image/png":"iVBORw0KGgoAAAANSUhEUgAABIQAAAHvCAYAAAAl2QQIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzdeZhsZ1kv7N9DAoR5ygaBAIEYUEDGwGFwAAMChuk7Mg9GBhFFgXMcCDIJgidOOCAokSkCIgHkEA0iIUI4yhDDnBDmBBIIZDPPQ+D5/lirSaXTm713V+9du2rd93X11V1rVdV63npXddf69bveVd0dAAAAAKbjYosuAAAAAIC9SyAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAoAFqaq/q6qnLLoOVk9VdVX9+A7WvaWqHrm3a9pKVXVWVd1pL2/z96vqBXtzmwCwJwmEAJi08cDyW1X19Zmvv9kD2/mVqvrP2WXd/eju/sM9sK0/qKqXbfXz7mSbB48hxP57c7s7s4jXguVXVXeoqnNml3X3H3X3UgdpADBrn/rQBgALco/uftOii2B5VdX+3X3+outYNVVVSaq7f7DoWgBg1RghBAA7MI7q+a+q+ouq+nJVfaKqbjcuP7uqzquqI2fuf4Wq+oeq2l5Vn6yqJ1fVxarqJ5P8XZLbjiOQvjze/yVV9cyZx/9qVX2sqr5YVcdX1TVm1nVVPbqqPlpVX6qq544Hy+trvmuS309y/3Fb76uqO1bVB2bu86aqOmXm9n9W1b3Hn69RVa8Z23BmVT125n4Xq6qjqurjVfWFqjquqq48rn7r+P3L43Zvu0Ft+42n3Xy8qr5WVe+qqmuN625XVf9dVV8Zv99u5nEXOj1odtTPzMikI6vqU1X1+ap60o5ei5l+/cRYw5lV9eAd9P+lqurY8fU+o6p+b3bUyFjXE6rq/Um+UVX7V9U9q+r0cX95y9j3s3344zO3f9j/ayNSxtfn8+NzP3jmvpesqj8b2/i5Gk43vNTM+t+tqnOr6jNV9fCN2rPOIVV1yvh6v26tH6vqhKr6rXWvw/vX9o91yy8yima2r6rq1lV1alV9daz52TP3u01VvW18nd5XVXeYWfeWqnpWVf1Xkm8mud6Pasj42vzl2PbPjD9fcmb9varqvWMdHx/3i1TVw8Z+/dq4P/zauPwySf4tyTXqglGD16h1o8120tdnVdXvjK/dV6rqlVV1wI9qBwDsbQIhAPjR/keS9ye5SpJ/TPJPSW6V5MeTPCTJ31TVZcf7PifJFTIcwP5ckl9O8rDuPiPJo5O8vbsv291XXL+Rqvr5JP8nyf2SXD3JJ8dtzbr7uO2bjve7y/rn6e43JPmjJK8ct3XTJG9P8uNVdWANp3TdOMlBVXW5MVS4ZZL/V1UXS/IvSd6X5JpJDk/y+Kpa285jk9x7bNs1knwpyXPHdT87fr/iuN23b/Ba/u8kD0zyi0kun+ThSb45hhEnJPnr8XV+dpITquoqGzzHjvx0khuMNT+1qn5yo9diPNj/6yR36+7LJbldkvfu4DmfluTgDP155wz9vd4DkxyR5Irj/V6R5PFJtiV5fZJ/qapL7GIbfizJgRle+yOTHFNVNxjX/XGS6ye5WYZ975pJnpr8MPj6nbHGQ5Psytw6v5zh9b9GkvMzvCZJcuxsO6vqpuO2Xr+LbZj1V0n+qrsvn+SQJMeNz3nNDP39zCRXHmt/TVVtm3nsQ5M8KsnlMrwXfpQnJblNhtfmpkluneTJ47ZuneQfkvxuhj762SRnjY87L8N76vJJHpbkL6rqFt39jSR3S/KZcb+5bHd/ZnaDVXX97Lyv75fkrkmum+QmSX5lJ+0AgL1KIAQAyf8d/8u/9vWrM+vO7O4Xd/f3k7wyybWSPKO7v9Pdb0zy3Qxhy35J7p/kid39te4+K8mfZziw3RUPTvKi7n53d38nyRMzjCg6eOY+R3f3l7v7U0nenOEAeKe6+9tJTs1wMHxYhoDrP5PcPsOB9Ee7+wsZwqZt3f2M7v5ud38iyd8necD4VL+W5Endfc5Y4x8kuU/t+rxBj0zy5O7+cA/eN273iLGGl3b3+d39iiQfSnKPXXzeJHl6d3+ru9+XIdC66Y+47w+S3LiqLtXd53b36Tu43/2S/FF3f6m7z8kFocmsv+7us7v7Wxn6/4TuPrG7v5fkz5JcKkPotKueMu5bJ2cITe5XVZXkV5P8r+7+Ynd/LUPQtdYv90vy4u4+bQwz/mAXtvPSmfs/ZdzOfklel+TQqjp0vN9DMwRq392NNqz5XsYgsru/3t3vGJc/JMnru/v13f2D7j4xw/75izOPfUl3nz7uD9/byXYenOE9eV53b0/y9FzwvntEhvfVieO2Pt3dH0qS7j6huz8+7osnJ3ljkp/ZxbbtSl//dXd/pru/mCFo3aX3KwDsLQIhAEju3d1XnPn6+5l1n5v5+VtJ0t3rl102w8iOS+TCoxk+mWF0xa64xuxju/vrSb6w7vGfnfn5m+N2d9XJSe6QIRQ6OclbMoz0+bnxdpJcJ8NpMj8MxzKccnW1mfWvnVl3RpLvz6zfmWsl+fgGyy/U9tHuvHbJLr42YwBy/wwjts4dT5H6iR085zWSnD1z++wN7jO7bH0f/mBcv6vt+NJY35pPjs+5Lcmlk7xr5rV/w7h8ozp3NqJmfd2fTHLxJAeOQd9xSR4yjhh7YJKX7mL96z0iw6imD9VwGuDdx+XXSXLfdfvZT2cYGbdRfTuzfv9Ze92SHe9zqaq7VdU7ajhF88sZAqkDN7PNHfT1PO9XANjjBEIAsDU+n2FExHVmll07yafHn3snj//M7GPHU5uuMvP43bHRttYHQifnooHQ2RlGRM2GY5fr7l+cWX+3desP6O5P70L71h5/yAbLL9T20exr940MgciaH9uFba25SF3d/e/dfecMAcSHMoyC2si5SQ6auX2tnTz/+j6s8TFr7fhmfnQ7rjT2+5prj8/5+QzB441mXvcrdPdawHDuutquvYP2zFp//++N20mG08YenOH0u2/u4PS/ZF2/jCOMfnjaV3d/tLsfmOSqGU55e/XYvrMzjFCa3Y8u091Hzzz3ruxPa9bvP2uvW7KDfW6cY+g1GUb2XG08jfP1Sdbm5drd9+v6vgaAfZ5ACAC2wHhK2XFJnjXOzXOdDHPmrE1C+7kM8/bsaD6Zf0zysKq62Xiw+kdJ3jmeera7Ppfk4HGEx5q3ZZhj59ZJThlPk7pOhjmS1iaEPiXJV2uYKPlSNUwCfeOqutW4/u/G9l0nSapqW1Xda1y3PcOpWD9qAuAXJPnDqjq0BjcZ5wl6fZLrV9WDapiY+f5JbpjkX8fHvTfJA6rq4lV1WJL7bPa1qKqrjZMBXybJd5J8PcMop40cl+SJVXWlcd6b39zJto5LckRVHV5VF0/y2+M23jbTjgeNr+tdM4Rx6z29qi5RVT+TYX6bV42jT/4+wxw3Vx3bcc2ZuZ2OS/IrVXXDqrp0hrmPduYhM/d/RpJXj/twxgDoBxlOefxRo4M+kuSAqjpibO+Tk8xO5vyQqto21v/lcfH3M7wn7lFVdxlfiwNqmKD6oItsYde8IsmTx/3xwAxzK629716Y4X11eA2Tol9zHBF2ibHW7UnOr6q7JfmFmef8XJKrVNUVdrDNnfU1AOzzBEIAMEwG+/WZr9du8nl+K8OoiU9kmKPnH5O8aFz3H0lOT/LZqvr8+gd290kZ5nJ5TYYRH4fkgjlidterxu9fqKp3j8//jSTvTnL6zHwwb0/yye4+b7zP9zPM23OzJGdmGDHyggwTZSfDJMHHJ3ljVX0tyTsyBErp7m8meVaS/xpPA7rNBnU9O8OB9BuTfDXDwfqlxnmE7p7hoPoLSX4vyd27e+11esr4enwpw/ww/zjHa3GxcTufSfLFDKHMb+zgsc9Ics74WrwpyaszHPRvqLs/nGF+nOdkeO3ukeQeM6/348ZlX84wAuf/rnuKz2Zo42eSvDzJo9fmu0nyhCQfS/KOqvrqWM8Nxu3+W5K/zLCPfWz8vjMvTfKScZsHZJgwfNY/JPmpXBCsbNTer2R47V6QYWTMNzK8XmvumuT0qvp6hn3nAd397e4+O8m9MpyOuD3DKJ7fzeY/lz4zwxxE70/ygQz7+TPHGk/JOGF0kq9kGA13nXEepsdm2B+/lORBGfbttbZ9KEPQ9Ilxf/7hFf/G9TvrawDY51X37ozIBQCYpqr69QyhxkYje+Z97jskeVl3b3aUzJaqql9O8qju/ulF1wIA7BlGCAEAbKCqrl5Vtx9PNbpBhpFFmx09tjTG08h+I8kxi64FANhzBEIAABu7RJLnJ/lahtOwXpfkeQutaA8b5yXanmEOnd05NQ8AWDJOGQMAAACYGCOEAAAAACZm/0UXkCQHHnhgH3zwwYsuAwAAAGBlvOtd7/p8d2/baN0+EQgdfPDBOfXUUxddBgAAAMDKqKpP7midU8YAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAE7P/oguYx8FHnbBXtnPW0Ufsle0AAAAA7A1GCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmJidBkJV9aKqOq+qTttg3e9UVVfVgTPLnlhVH6uqD1fVXba6YAAAAADmsysjhF6S5K7rF1bVtZLcOcmnZpbdMMkDktxofMzzqmq/LakUAAAAgC2x00Cou9+a5IsbrPqLJL+XpGeW3SvJP3X3d7r7zCQfS3LrrSgUAAAAgK2xqTmEquqeST7d3e9bt+qaSc6euX3OuGyj53hUVZ1aVadu3759M2UAAAAAsAm7HQhV1aWTPCnJUzdavcGy3mBZuvuY7j6suw/btm3b7pYBAAAAwCbtv4nHHJLkukneV1VJclCSd1fVrTOMCLrWzH0PSvKZeYsEAAAAYOvs9gih7v5Ad1+1uw/u7oMzhEC36O7PJjk+yQOq6pJVdd0khyY5ZUsrBgAAAGAuu3LZ+VckeXuSG1TVOVX1iB3dt7tPT3Jckg8meUOSx3T397eqWAAAAADmt9NTxrr7gTtZf/C6289K8qz5ygIAAABgT9nUVcYAAAAAWF4CIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMzE4Doap6UVWdV1WnzSz706r6UFW9v6peW1VXnFn3xKr6WFV9uKrusqcKBwAAAGBzdmWE0EuS3HXdshOT3Li7b5LkI0memCRVdcMkD0hyo/Exz6uq/basWgAAAADmttNAqLvfmuSL65a9sbvPH2++I8lB48/3SvJP3f2d7j4zyceS3HoL6wUAAABgTvtvwXM8PMkrx5+vmSEgWnPOuOwiqupRSR6VJNe+9rW3oIzVcPBRJ+yV7Zx19BF7ZTsAAADAvmeuSaWr6klJzk/y8rVFG9ytN3psdx/T3Yd192Hbtm2bpwwAAAAAdsOmRwhV1ZFJ7p7k8O5eC33OSXKtmbsdlOQzmy8PAAAAgK22qRFCVXXXJE9Ics/u/ubMquOTPKCqLllV101yaJJT5i8TAAAAgK2y0xFCVfWKJHdIcmBVnZPkaRmuKnbJJCdWVZK8o7sf3d2nV9VxST6Y4VSyx3T39/dU8QAAAADsvp0GQt39wA0Wv/BH3P9ZSZ41T1EAAAAA7DlzTSoNAAAAwPIRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEzMTgOhqnpRVZ1XVafNLLtyVZ1YVR8dv19pZt0Tq+pjVfXhqrrLniocAAAAgM3ZlRFCL0ly13XLjkpyUncfmuSk8Xaq6oZJHpDkRuNjnldV+21ZtQAAAADMbaeBUHe/NckX1y2+V5Jjx5+PTXLvmeX/1N3f6e4zk3wsya23qFYAAAAAtsBm5xC6WnefmyTj96uOy6+Z5OyZ+50zLruIqnpUVZ1aVadu3759k2UAAAAAsLu2elLp2mBZb3TH7j6muw/r7sO2bdu2xWUAAAAAsCObDYQ+V1VXT5Lx+3nj8nOSXGvmfgcl+czmywMAAABgq202EDo+yZHjz0cmed3M8gdU1SWr6rpJDk1yynwlAgAAALCV9t/ZHarqFUnukOTAqjonydOSHJ3kuKp6RJJPJblvknT36VV1XJIPJjk/yWO6+/t7qHYAAAAANmGngVB3P3AHqw7fwf2fleRZ8xQFAAAAwJ6z1ZNKAwAAALCPEwgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMzFyBUFX9r6o6vapOq6pXVNUBVXXlqjqxqj46fr/SVhULAAAAwPw2HQhV1TWTPDbJYd194yT7JXlAkqOSnNTdhyY5abwNAAAAwD5i3lPG9k9yqaraP8mlk3wmyb2SHDuuPzbJvefcBgAAAABbaNOBUHd/OsmfJflUknOTfKW735jkat197nifc5NcdaPHV9WjqurUqjp1+/btmy0DAAAAgN00zyljV8owGui6Sa6R5DJV9ZBdfXx3H9Pdh3X3Ydu2bdtsGQAAAADspnlOGbtTkjO7e3t3fy/JPye5XZLPVdXVk2T8ft78ZQIAAACwVeYJhD6V5DZVdemqqiSHJzkjyfFJjhzvc2SS181XIgAAAABbaf/NPrC731lVr07y7iTnJ3lPkmOSXDbJcVX1iAyh0X23olAAAAAAtsamA6Ek6e6nJXnausXfyTBaCAAAAIB90LyXnQcAAABgyQiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZm/0UXAAAAsK86+KgT9sp2zjr6iL2yHYA1RggBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMXMFQlV1xap6dVV9qKrOqKrbVtWVq+rEqvro+P1KW1UsAAAAAPPbf87H/1WSN3T3farqEkkuneT3k5zU3UdX1VFJjkryhDm3A+xhBx91wl7b1llHH7HXtgUAAMBFbXqEUFVdPsnPJnlhknT3d7v7y0nuleTY8W7HJrn3vEUCAAAAsHXmOWXsekm2J3lxVb2nql5QVZdJcrXuPjdJxu9X3ejBVfWoqjq1qk7dvn37HGUAAAAAsDvmCYT2T3KLJH/b3TdP8o0Mp4ftku4+prsP6+7Dtm3bNkcZAAAAAOyOeQKhc5Kc093vHG+/OkNA9LmqunqSjN/Pm69EAAAAALbSpgOh7v5skrOr6gbjosOTfDDJ8UmOHJcdmeR1c1UIAAAAwJaa9ypjv5Xk5eMVxj6R5GEZQqbjquoRST6V5L5zbgOAkavBAQAAW2GuQKi735vksA1WHT7P8wIAAACw58wzhxAAAAAAS0ggBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYmP0XXQAAHHzUCXtlO2cdfcRe2Q4AAOzrjBACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiXGVMQAAAJba3rpiaeKqpawOI4QAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABPjsvMAsAfsrcvfuvTtfFymGACYKiOEAAAAACbGCCEAgBVi1BMAsCuMEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZm7kCoqvarqvdU1b+Ot69cVSdW1UfH71eav0wAAAAAtsr+W/Acj0tyRpLLj7ePSnJSdx9dVUeNt5+wBdthSR181Al7ZTtnHX3EXtkOAAAb87kPYHnMNUKoqg5KckSSF8wsvleSY8efj01y73m2AQAAAMDWmveUsb9M8ntJfjCz7GrdfW6SjN+vutEDq+pRVXVqVZ26ffv2OcsAAAAAYFdtOhCqqrsnOa+737WZx3f3Md19WHcftm3bts2WAQAAAMBummcOodsnuWdV/WKSA5JcvqpeluRzVXX17j63qq6e5LytKBQAAACArbHpEULd/cTuPqi7D07ygCT/0d0PSXJ8kiPHux2Z5HVzVwkAAADAlpn7svMbODrJnavqo0nuPN4GAAAAYB+xFZedT3e/Jclbxp+/kOTwrXheAAAAALbenhghBAAAAMA+TCAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJiY/RddACyjg486Ya9t66yjj9hr2wL4UfbW7z6/91jP313YWn6fA4kRQgAAAACTIxACAAAAmBiBEAAAAMDEmEMIAAAA9jHmT2NPM0IIAAAAYGIEQgAAAAAT45QxAAAAYI9zGty+xQghAAAAgIkxQghYWf4DAQAA7EnLfMxhhBAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjKuMAQDAXrbMV6UBYDUYIQQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEzMpgOhqrpWVb25qs6oqtOr6nHj8itX1YlV9dHx+5W2rlwAAAAA5jXPCKHzk/x2d/9kktskeUxV3TDJUUlO6u5Dk5w03gYAAABgH7HpQKi7z+3ud48/fy3JGUmumeReSY4d73ZsknvPWyQAAAAAW2dL5hCqqoOT3DzJO5NcrbvPTYbQKMlVd/CYR1XVqVV16vbt27eiDAAAAAB2wdyBUFVdNslrkjy+u7+6q4/r7mO6+7DuPmzbtm3zlgEAAADALporEKqqi2cIg17e3f88Lv5cVV19XH/1JOfNVyIAAAAAW2meq4xVkhcmOaO7nz2z6vgkR44/H5nkdZsvDwAAAICttv8cj719kocm+UBVvXdc9vtJjk5yXFU9Ismnktx3vhIBAAAA2EqbDoS6+z+T1A5WH77Z5wUAAABgz9qSq4wBAAAAsDwEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABOzxwKhqrprVX24qj5WVUftqe0AAAAAsHv2SCBUVfsleW6SuyW5YZIHVtUN98S2AAAAANg9e2qE0K2TfKy7P9Hd303yT0nutYe2BQAAAMBuqO7e+ietuk+Su3b3I8fbD03yP7r7N2fu86gkjxpv3iDJh7e8kI0dmOTze2lbe4s2LQdtWh6r2C5tWg7atBy0aXmsYru0aTlo03LQpuWxiu3aW226Tndv22jF/ntog7XBsgslT919TJJj9tD2d6iqTu3uw/b2dvckbVoO2rQ8VrFd2rQctGk5aNPyWMV2adNy0KbloE3LYxXbtS+0aU+dMnZOkmvN3D4oyWf20LYAAAAA2A17KhD67ySHVtV1q+oSSR6Q5Pg9tC0AAAAAdsMeOWWsu8+vqt9M8u9J9kvyou4+fU9saxP2+mlqe4E2LQdtWh6r2C5tWg7atBy0aXmsYru0aTlo03LQpuWxiu1aeJv2yKTSAAAAAOy79tQpYwAAAADsowRCAAAAABMjEAIAAACYmD0yqTRsRlVdKck1knwryVnd/YMFlwQALBmfJ5ZHVV0mybe7+/uLroWNeT/B1qmqiyW5aS54T53e3Z9baE2rPKl0VR2U4ZL3P5MLXvTTkpyQ5N+W9RdaVR2Wi7bpTd39xYUWtglVdYUkj0nywG5+Xj8AACAASURBVCSXSLI9yQFJrpbkHUme191vXlyFm1NVByS5ezbY9/ahK+7tthVu11WT3D4XbtOpS/w7Qj8tgRXup9smeUiGdl09F/7b+7Lu/soCy9tt+mk5+DyxHMaDoQckeXCSWyX5TpJLZuiv1yc5prs/urgKN2+V/kat6vspWc3jw1U6Nlyzgr/7DknyhCR3SvLRXPCeun6SbyZ5fpJjF7H/rWwgVFUvTnLNJP+a5NQk5+WCF/2OSW6Z5KjufuvCitxNVfUrSR6b5Mwk78qF23T7DG+Sp3T3pxZV4+6qqhOT/EOSf+nuL69bd8skD03yge5+4SLq24yq+oMk90zylmy87x2Q5Le7+/0LKnFTVrFdVXXHJEcluXKS9+TCbTokyauT/Hl3f3VhRe4m/bQcxn66R4Z+Wv/7fCn7KUmq6t+SfCbJ67Lx/nePJM/u7uMXVuRu0E/L0U/JSn+eWKn9r6pOTvKmDPveaWsHP1V15QxtelCS13b3yxZX5e5Z0b9RK/d+Slbv+HAVjw2Tlf0s+4okz0vyn70ugBnD5Acl+VJ3H7vXa1vhQOjG3X3aj1h/iSTX7u6P7cWy5lJVj0nyou7+1g7W3yzJVbr7pL1bGbOq6ojuPuFHrL9qhn3v1L1Y1txWsV1V9adJnrPRH8qq2j/Dfyb26+7X7PXiNkk/LYdV7KckqaoDu/vz895nX6GflqOf1lRVJTmou89edC1bYRX3v6q6eHd/b9777EtW8W/Uqlq148NVPTZcxd99yQ9HSN6mu9+26FpmrWwglCRVtV+GoVcPWXQtW6mqrrzMQwA3Mn6Ie3CS63X3M6rq2kl+rLtPWXBpmzLue0d39+8uupattMrtWqX5C/TT8tjZh9NlNO5//97dd1p0LVtFPy2PqnpXd99y0XVspVXb/8aDovd3940XXctWGdt0n+4+btG1bKWqek2SF2VJT6XayCoeH67oseGqfpZ9e3ffdtF1zFrpq4yNBw7bxrR3lbyzql5VVb84Bimr4HlJbpvhXOUk+VqS5y6unPmM+94tV6h/kqxuu5J8rKr+tKpuuOhCtoJ+Wip/V1WnVNVvVNUVF13MVhj3v2+Oc1CsCv20PN5RVbdadBFbbKX2vzFYeN/4z7+VMLbptxZdxx7wtxlOZfloVR1dVT+x6ILmtaLHhyt3bLjCn2XfWFW/tC+1a6VHCCVJVT0/yS2SHJ/kG2vLu/vZCytqTuMOdKckD09y6ySvTPKS7v7IQgubQ1W9u7tvUVXv6e6bj8ve1903XXRtm1VVf57k0CSvyoX3vX9eWFFbYBXbVVWXyzDB4MMyBOUvSvJPy3S+/3r6aXlU1aEZfp/fN8kpSV7c3Scutqr5VNVxSW6T5MRceP977MKKmpN+Wg5V9cEM80x8MkObKkl3900WWticVm3/q6r/yDCp9Cm58L53z4UVNaeqekqGiW9fmQu3aelHbozB8QOTPCnJ2Un+PsPk80tzat+sVTs+XMVjw2RlP8t+Lcllkpyf5Nu54G/U5RdW0wQCoadttLy7n763a9kTapjI7mUZdqz3ZZgI7e2LrWr3VdU7k9wuyX+PwdC2JG9cC4eWUQ0T163X3f3wvV7MFlrVdq2pqp9N8ookV8wwEeQfLsu55LP003IZh0bfO8lfJ/lqhg8Iv7+sH3qq6siNli9issStpJ/2fVV1nY2Wd/cn93YtW22V9r+q+rmNlnf3yXu7lq1SVWdusLi7+3p7vZgtVFVXyXBFwodmmIz+5Ul+OslPdfcdFljapq3y8eGqHBsmq/9Zdl+x8oHQKlr3i/lzSV6YIeG+WZJXdfd1F1jeplTVg5PcP0Naf2yS+yR5cne/aqGFMQnjh+wjMow8OTjJSzN84PmZJH/U3ddfXHWsWcV+qqqbZGjPERlGabywu99dVddI8vbu3vDglr1LPy2fcdLRA9ZubzTh77Kw/7EoVfXPSX4iw9/bl3T3uTPrTu3uwxZWHD+0iseGq6yqrpRh5NPs36iFXdlu5QOhcaTJ7yW5US78ov/8woqaU1V9JMMv5hd39znr1j2hu/94MZXNZzwv+fAM//E6qbvPWHBJc6mqA5I8Ihfd95Y61V7FdlXVJ5K8OcOH7LetW/fXy3j6hH5aDlX11gxD71+9/iohVfXQ7n7pYiqbz3h6y/9JcsNceP9byv+U66flUVX3TPLnSa6R4VLF10lyRnffaKGFzWEV97+quk2S5yT5ySSXSLJfkm8s8rSJrVBVN85F30//sLiK5lNVP9/d/7HoOrbaqh0frvCx4Sp+ln1kksclOSjJezOctv32Re57Kz2p9OjlST6U5LpJnp7krCT/vciCtsANuvsPk3ylqi47u2KJ3/CHJDmzu5+b5LQkd16BiRNfmuTHktwlyckZ3vhfW2hFW2MV23WT7n7E+pAhWeq5NPTTEujun81wrv8hVXXjqrr4zLqlO8ib8eIMk5Gen+SOSf4hwz65lPTTUvnDDB+wPzL+V/zwJP+12JLms6L7399kmJPmo0kuleSR47KlNZ6G9Jzx645J/iTJ0s6JNPp/VfXYqnr1+PVbs/vfElu148OVOzYcreJn2cdlmD/tk919xyQ3T7J9kQVNIRC6Sne/MMn3uvvkMVG8zaKLmtONquo9GYKTD1bVu8b/SCyz1yT5flX9eJIXZPgF/Y+LLWluP97dT8nwH69jMwz1/qkF17QVVrFdV6yq11bV9qr6XFW9pqoOWnRRc9JPS2CcR+OjGa6q+LwkHxnnR1p2l+rukzKMRP5kd/9BkqX8z2uin5bM97r7C0kuVlUX6+43ZzhtYmmt6v43zvu2X3d/v7tfnOQOCy5pXvfJEEB+trsfluSmSS652JLm9rdJbplhv3tehqkd/nahFW2NVTs+XMVjw2Q1P8t+u7u/nSRVdcnu/lCSGyyyoP0XufG9ZG32+3Or6ogMk6Et9QFEkmOS/O/xQ06q6g7jststsqg5/aC7z6+q/5nkr7r7OeMvtmW2tu99efyl/NkM854su1Vs14szBJD3HW8/ZFx254VVND/9tByeneQXuvvDSVJV188wWfYtF1rV/L5dVRfLcKni30zy6SRXXXBN89BPy+PL43/I/1+Sl1fVeRlGQC2zVdz/vlnDZb/fW1V/kuTcDJPgLrNvdfcPqur8qrp8hlMWl/b0y9Gt+sJX/P2PqnrfwqrZOqt2fLiKx4bJan6WPWc8C+b/Jjmxqr6UYf9bmCkEQs+s4VKJv51hCOflk/yvxZY0t8usveGTpLvfUlXL/kf0e1X1wCS/nOQe47JlH5J6zDhp2FMyTOx22SRPXWxJW2IV27Vt/O/kmpdU1eMXVs3W0E/L4eJrB3lJ0t0fWZHh+I9Pcukkj81wCs8dk2x4RasloZ+Wx70yXPr78UkenOQKSZ6x0Irmt4r730MznKnwmxk+l18ryS8ttKL5nToe6P19kncl+XqSUxZb0ty+X1WHdPfHk6Sqrpfk+wuuaSus2vHhKh4bJiv4Wba7/7/xxz+oqjdn+Bv1hgWWtPqTSq+iqnptknfngvP8H5LksO6+9+Kqmk9V3TDJozNMqvWKqrpukvt399ELLo0JqKo3JXlJhv+4JsO8Bg/r7sMXVhQXsYr9VFUvStK54Pf5g5PsP55usPSq6jLd/Y1F1zEv/bRcarj0/KHd/aaqunSG05KWdt6JVd3/qupSSa49G3atiqo6OMnlu/v9Cy5lLlV1eIaRuJ/IcNGX62T4u/vmH/lA9qpVPDZcZVX10xn+Rr14nOD8st195qLqWfk5hKrq+lV1UlWdNt6+SVU9edF1zenhSbYl+eckrx1/XuoPBd39we5+bHe/Yrx95rKHQVV1tap6YVX923j7hlX1iEXXNa8VbdfDk9wvw1DUczPMA7C0VzBI9NMS+fUkp2cYofG4JB/MEI4vtaq6bVV9MMkZ4+2bVtXzFlzWPPTTkqiqX03y6iTPHxddM8PQ/GW2cvtfVd0jwxV23jDevllVHb/YquZTg4dU1VO7+6wMp7ncetF1zWOcY+zQDPveYzNMXrz0YdAKHh+u3LFhspqfZWuYfP4JSZ44Lrp4kpctrqIJjBCqqpOT/G6S53f3zcdlp3X3Kky0tfSq6rjuvl9VfSDDf78upLtvsoCytsT4y+vFSZ7U3Tetqv2TvKe7l3oytFVt16rRTyxSVb0zQ2B3vL+9+65V7Keqem+SWyd550ybPuB3376lqt6VYQLzt8z00/uX/HPf3yb5QZKf7+6fHE91eWN332rBpe22Gi83X8Pcnut1ki8m+c/uXsrTxxwfLodV/Cw7/o26eZJ37yu/+6Ywh9Clu/uUqppdtpSTC1bVX3b346vqX3LR8GTtl/Pzu/sde7+6TXvc+P3uC61izziwu4+rqicmyThp9lL+4VxnZdpVVb/X3X9SVc/Jjt9TL1s7d37J6Kd92E7C8LU2/WV3v27vV7c1uvvsdX97l27/009L6Tvd/d21No0HEEv5388V3//O7+6vrNv3lt3/6O5b1HhRlO7+Ug0TZy+jn0vyH7lgXs/1rpLkyVneizqsxPHhih4bzlqZz7IzvtvdXVWdDKdsL7qgKQRCn6+qQzK+SarqPhlONVhGa+eF/tkO1h+Y5EVJbrh3yplfd59bVfsleWF332nR9Wyxb1TVVXLBvnebJF9ZbElbYpXadcb4/dQdrL9KhuG3N93B+n2Zftq37SwMPzDJy5Ms44FekpxdVbdL0uMB0WNzQT8uE/20fE6uqt9PcqmqunOS30jyLwuuabNWef87raoelGS/qlo7JeltC65pXt8bP9Ou/d3dlmHE0NLp7qeN33d42lFVvXDvVbTlVuX4cOWODddZpc+ya46rqucnueJ4ivPDM0xEvzBTOGXserngsntfSnJmkgd39ycXWtgeUlX36O6l++Aznjf+0O5e9jf5D1XVLTJcueDGSU7LcD7vfVZggsGVbNeOVNWvdffzd37PfYt+Wn5Vdcvuftei69iMqjowyV8luVOGiUjfmORx3f2FhRa2B+infUtVXSzJI5L8QoY2/XuSF/SKfuBd1v2vhsm+n5Shn5Khn57Z3d9eXFXzqaoHJ7l/klskOTbD6ZhP7u5XLbQwLmJKx4fLemyYrNZn2aq6ZHd/Z/z5zpn5G9XdJy60thX9+5iqelx3/1VV3b67/2scjnWxZb7KxCqrquOS3CbJiUl+eKWT7n7sworapKq6b3e/qoYrpZ2d5AYZ3vAf7u7vLba6zVvVdq0a/cQiVdUfd/cT1vbDRdfDxlaxn6rqpO4+fK1ti66HjVXVS7v7oWuf0xddz1aoquuuXSGoqn4iyeEZ/u6e1N3LPuJupTg+XA6r+Fm2qt49nlL60u5+6KLrmbXKgdB7u/tmay/+ouvhR6uqIzda3t3H7u1a5jXzhl+pfW9V27Vq9BOLNM51cosME/ra//ZRq9hPNVwt7deT/F2SB2U4ePih7n73IuriwsZ+uluS45PcIRftpy8uoKy5VNW7uvuWa6HkouthxxwfLodV/CxbwxXt/jTJUzNMaH4h3f3Pe72o0SrPIXRGVZ2VZFtVzQ4rqyS9zFcxWEXdfew4f8FPZDhP9MPd/d0Fl7VZX6iqNye5bm1wCdXuvucCatoKq9quVaOfWKQ3JPl8kstU1Vcz/s3NBX97L7/I4vihVeynpyY5KslBSZ69bl1nuKIVi/d3Gfa/6yV5Vy4cCPW4fNlcrIZLSV+/qv73+pXdvX5/XFpVdViSc7v704uuZZMcHy6HVfws++gkD05yxVx0svbOMBfmQqzsCKEkqaofy3BO8kV2mlU6R7Sq/ijDBFsvWNbz/qvqF5M8P8nHM/xSvm6SX+vuf1toYZswBlu3yDDR2yPXr+/uk/d6UVtgVdu1kar6jSRfSPKa7l6qq07op+VWVccm+WaS53b3aYuuZ7Oq6nXdfa9F17Gn6Kd9V1U9pbv/cNF17EmrsP9V1d92968vuo6tUFU3SHLvJI/PEHhdSHc/fa8XtYeM+95Nknyku++/6Ho2YwrHh8t+bLjKn2Wr6hHdvU9NyL7SgdBUVNW9kxyS5Kbd/cuLrmczqupDSe7e3R8bbx+S5ITu/onFVrZ5VbWtu7cvuo6ttqrtmlVVj8kwWu06S/pfCP20pKrqVkmuneTW5kHZd+knFsn+t2+qqrst4z8yN6OqLmfenX3XKhwbJtP4LLsvEAixT6iqt3b3z87criQnzy4DAAD2nqq6SZKDMzPVyCLnOwG21irPIbSyquqADJdUvVGSA9aWd/fDF1bU/E6vqtcnOS7DeZT3TfLfVfU/E3942LOq6pJJfikX/cDzjEXVxAU2mpNh1jLPz1BV25I8IckNc+Hf5+Y72YfoJxbJ/seiVNWLMpwidnqSH4yLFzrfCRdVVX+S5JlJvpVhjq6bJnl8d79soYWxFC626ALYlJcm+bEkd0lycoYJFJd92OYBST6X5OcyXHVie5IrZ5h06+6LK4uJeF2SeyU5P8k3Zr7YN1xu/Dosw1WErjl+PTrDAdIye3mSMzLMm/b0JGcl+e9FFsSG9BOLZP9jUW7T3Yd195Hd/bDxa5n/Ab2qfqG7v5rhmOmcJNfPBleyYt9TVVcf/zG9uBqmdsrYsk+ylSRV9Z7uvnlVvb+7b1JVF0/y78v6n6Kq2i/JY7v7LxZdy560ihPgJqvRrqo6rbtvvOg69qQV6ac3JvmltXkLqupySV7V3XddbGWbN3O54vevXd2kqk7u7p9bdG1badknwdVPy6uqzhh/fG53/81Ci9mkKex/VfWmJN/L0E//uuh6tsIKXJErVfXCJH/e3R9cdC170rIfH1bV6d19o6r6+wyf895QVe/r7psuurattAqfZdcbf/cdkqFNv7OIGqY4QuiUDKMAljl8+N74/ctVdeMkV8hwqstS6u7vZ4OZ/ldQJfnprN4w21Vo19uq6qcWXcQetgr9dO0k3525/d0s8e++0drv83Or6oiqunmGUZ+r5m+SvCnJQxddyCbppyXV3T+Z5GeSnLnoWuYwhf3vl5M8Ocl1Fl3IFvqtJP9aVa9cdCFzODbJ26vqw1X1/qr6wLrLta+KZT8+/JfxAj2HJTlpPM302wuuaU9Yhc+yF9Ldd0pyvSQvXlQNkxshtAqq6pFJXpPhnN4XJ7lskqd290UudbksqupZGYKtV2bmVJ3ufvfCimIy6v9v777DJK3K9I9/b0YyIiooBpCgYEAyKkEQxUxcQUSQZMBFkUVF3XVdAfVnDkhGFBQVE7qAiuDqECSnIYiwq4CgGEABEVEJ9++Pc2q6uqa6h+mq7lPn9PO5rr66662e7qeumq563xPuR7oeeDrpguEfpDccd2Ziw2iQ9H7gtcD3SBkGOwHfsv3/ihY2AEnbAucDqwBHAMsDh9o+vWhhYZx4nkJJLf3/k/RS2z+e4L6Pt9g1reaOXJJ+CbwTuJaxDKFm2rO3RNJjgb/YfkjSssCjbf++dF1hQZK2AJ5h+0RJK5Keq2KTFs0PCDUawNwcSXP7HHat2+A6JL2aBf/vVR1U3GIAs6S+M5I1nvC0HMAMIGkj0uwQwHm2rypZT+gvQnDr0OLzJOkFpEGTZwFLAHOA+2wvX7SwAICk/wUOsv2DrmOLAV8CVq55CzC015FL0k9rfj2YSGshzJKWIQ3crWr7LZKeAaxd6/ZLSZ+z/W/56wNtH95130m29y5W3IAkfZC0kmtt22tJejIp/mDzUjXNhi5jJwM3kAKYDwN2JwXzVUfSHra/OtEFX80Xera3Ll3DsEk6FlgG2Bo4AdiZtCS1dqeR9llfQVpNUz3bv5a0HmlbAcD5tq8uWdMAHp0/rw1sAnRmkLcDzitS0XDNA35Hfv+StKrtW8uWtOgkvcf2JyQdQVrtNI7tdxQoa5i+Rlrx+WpS+PdepGYBVYnnqUpHAq8Dvk066d6TtAK0Wjnb6UDbd+fbjyXlutQ4ufky4EeSlrT93Txx+x3SecV2ZUsbTKMduW6Q9HXgDLrO+Woe5MpeZvs9knYihTDvAswFqhwQIu0YuQLYLN/+Dek1sMoBIWDLrq/3Ag7vul376v2dgA2AKwFs354zMYuZDQNCT7e9i6QdbH85v6idVbqoKVo2fy76n2Y6SPqvfsdrXnUCbJZDv6+xfaikT1P3SUHHU2ufwesl6UDgzYw9P1+VdLztIwqWNSW2D4X5AcwbdgUwH0I6OaiWpAOAD5I6Ej5E3tpHnScHnYmJy4tWMX0eb/uLeWbvXOBcSeeWLmoK4nmqkO1fSpqTMwpPlHRh6ZoGtG5nMAjA9l05R6g6tm+RtA1wlqQnkPKqLrE96erWSrzAdu2dL3stTRoIelnXsdoHuQAWz59fBZxi+8+SStYzqDVt7yppNwDb96vuB6QJvm7BP21bkgHy9r6iZsOAUG8A8++pNITU9nH586Gla5kG3S2+lyK1TaxyJVeX+/Pnv+XlgH8itYyt3YWSnmv72tKFDNEbgefbvg9SjgFwEWnbQa1aDGA+kLTEtroOIL1sn5E/f7l0LdNkXAgucDsVhuDG81Slv0laApiXt4X8jrEJtVotJumxtu8CkPQ4Kj2Hl7Rh/vI9wFeAH5MmYTaE6rMjL5L07JY6ctnep3QN06QTwnw/sH8DIcz/lLQ0eSWrpDWpexX/Ynkl5GJdX3cGhuaUK2soviXpOGAFSW8G9gW+ULKgKt9MFtHx+T/RB0hbJ5YD+q5GGXWSPj/Z/TUvXbf96e7bkj7F2FaXWn1f0grAJ0nLAk3aOla7LYC9JbUUwCzSipOOzuqTmp0MXCqpO4D5K2VLGthtpG0F1ZN0Bn22IHXYrr3z4oclPQZ4F2MhuAeVLWnRxfNUpTeQLhjeTnosq5By72r2adJkzHfy7V2AjxSsZxDd53vXAE/sOmag5ryaTkeu39PI+ZGkp5JeGzYnPT8/I21f/E3RwgZk+3158q8Twvw3YIfSdQ3gEFIW0iqSvkZ6vmoezHsMaQtc51y8e6C46gBk25+S9FLgL6R4h/+aKGh/pjQfKt0SSXvlLzcnBUB22ljuAlxhu/aTuPnyIN6ltp9RupZhyEHMS9mu/mK2pQDmjpzLtRepexXAjsBJtj9XrqrBtRbALOmLpDfPHzA+y6C6/DRJW+Uv/wVYmbHcgt2AW2z/R5HCwjjxPIVRIenZpMESAT9paRVKK1rsyCXpx8DXSZNMAHsAu9t+abmqBtdaCDOApMcDLyC9Rlxs+87CJYVKNDsg1HIAc+7I9TLbD+TbiwNn1xzMLOlaxkZ85wArAYfZPrJcVVMj6cW2fyrpX/rd30AQHw0FMM+Xl6tvQXojrX7wBEDSHNLsa3e3k+oCmDtyZ4YF1LyNVtJ5trdc2LFatBrCHM/T6JP0Lduv7TmfmK/GVRqSlrf9l7xFbAG2/zzTNQ2qz7mRgTuBea60NXuHGuzIJWme7fUXdqw2kr5JWoGyp+118nari2p9XJJ+YvslCztWE0mPAl4JPDMfuh44y/aD5aqaOkn3MvmK42KdMFveMtZsADPwZNLj6pwILJeP1Wzbrq8fBP5Q6x88sBXwU/p3y6g+iK+lAOaek+xb8sf8+2o82e5oLIAZqHvgZxIrSVrD9k0AklYnDYjXqtUQ5nieRt+B+fO2k35XXb5OejxXMP5CovN6vkaJogbU79zoccC6kt5o+6czXdAQtdiR605JewCn5Nu7kTIxa9dECLNSl75lgBV7cnaWp+Jrw5y9OpeUAXcV6XFtC3xG0ta2by9Z31TYfjSApMNImcYnkx7X7hQer2h2hVDLJO1D2is6Nx/aCjik5tDLHH72G9v/kPQi0kXrV7q7atRE0mLAzra/VbqWYZN0DbBpVwDzsqRZleoGGnIOkkkvyKsCd+WvVwButV1tCHheuv78FgKYO3Lo43uA55DC5wGoeUZW0iuA44Gb8qHVgP1s19oNs0nxPNUhr4o8y/Y2pWsZlnyRukrNqzsfibwd/Vu2n1+6lqmSdGKfw7a974wXMySSVgWOBDYlnS9dSMoQqnYbHIBS58GXABfY3jBfh5xi+3mFS1skeZL230iDP79lbEDoL8AXatxpASDpJNKqwc/1HH8HsJHtvfr+wwpIuqT3da7fsRmtqdUBoZYDmAEkrQx0/uNcYvv3JesZlKR5wMakk+yzSIHSa9t+Vcm6BlHzdoLJ5OX4m9j+e769FHCZ7eeWrWzqJB0LnG77h/n2K4FtbL+rbGVTl7eWvrTilXYLkHQ2KTvt3cBbSblPd9h+b9HCBpQzxjpLom+wXW1nkJZDmON5qoOk04E3tJDZ1yHpCtsbla5jukm60vaGC//OEAYj6WXA+0mZrGeTQ5htz530H44oSQfUuFJ/IpJusP3MCe670fbaM13TsOTByKOAb5Deh3cD3mZ7s1I1tbxl7Ir8uW8Ac5GKhmsOcAfpOVxL0lq2zytc0yAetv1g3lv+OdtHSKo9w+XHkt5N+r93X+dgzduQshOBS5S6V0EKYP5iwXqGYRPbb+3csH2mpA+VLGgIbgLOkVR9AHOXx9v+oqQDbZ8LnCvp3NJFDcFGpMHwRwHrScJ2rR3hPpU/9w1hLlHQEMXzVIe/A9fmMNzu996aJwIvlrSJ7ctKFzJdJK1N3W2ym+rINVG+WEflf0/YPlvSFYyFMB9Ycwhzvm5ah3TN272Cutb3qPsnue9vM1bF9Hg9cHj+MHBBPlZMswNCne1TkvYGtu4KYD6WNBJcLaU2ibsCP2esi4GBmgeEHsj7ePdkbH/54gXrGYbOEuG3dR2rdc//fLY/I+kcxgKY92kggPlOSf9JuigyqYtG7Vutbs0fS+SPFjyQP/9O0quB24GnFqxnYJJOBtYE5pGyniD9H6zyJC4P1CHpQz0rJM+QVO17VDxPVflB/mjJ1sB+kn5NGuSqtp35BKvTHgc8ifTeW7MTSblPu+Tbe+RjNXbk6uSLNTmx3hW4/IM+x6qTm268iPRc/ZAU1r04uwAAIABJREFUxvwzKn2PAh7TJ4Ae0mtfsfDlYbB9C7BD6Tq6NbtlrEPSjaS8kz/n248lteKreanZjcC6NS9X76XUTvWtpCyaU3Jg5662P1a4tJBN1OWko+aVT/mxfRDoXBidBxxa82NqkaRtgfOBVUizsMuTnqfTixY2AEm/AJ7txt6M8+N6dU8I8w9tP6tsZVMTz1NdcsegVW3fWLqWQUha3fbNOV9nATXmuEjaqueQSRMw/2f7nwVKGho12JFLjXU27gphnksaQOkOYT6z1te+HOewHnCV7fUkPRE4wXa/EPeRN0Ee13y295mpWoZFI9zds9kVQl0+BlyVX9AgBzCXK2cobiKtnmlmQMj29cA7um7fTHruqiVpGeCdpJPSt0h6BikX6fuFS5uqTpeTvgHMQLUBzHng58CFfmNFWgxg7vrbuYc0Y96C60hbdn5XupAhO4i0ZXFcCHO5cgYWz1MlJG1H2hK3BLC6pPWBwyrNRfoOaavil2pdudDHeQsbWJWkSgdfW+zI1Vpn4/0YC2G+gvEhzEeVKmoI7rf9sKQHJS0P/JGKdyTUOODzCIxsd8/mB4RsnyjpTMYCmN9XewAzae/kPEk/YXw2SNX7eRt0IunNphMS9hvg20CVA0KdjlsTBTCXrG1QktYiBRWvRtfrYs2DJ8DXSEu8t6UrgLloRVPUeJbBisD1ki5l/Ot5jRev89n+UR4EbyKEmXieanII8DzgHADb8/LKpxotlreCrCXpnb13VpoJN1fSqcBp3Z3TJC1B2oq+F2n1xkllyhvIvqSOXJ9lrCNXtR3GsqYm1m0fDhzeWggzcLmkFYAvkK49/gpcWrakqev3etetxtc+22fkL8/vrModFc1vGQOQ9BTgaYy/0Kt2j7ykvq32XHHb+RZJutz2xpKusr1BPna17fVK1zaIft1OOo+1VE2DknQ1cCzpTbSTD4LtavfJd54nSdd0ciYknWu7d7n+yJvoNa+j5te+PtsngLGMl5pJ2owFB1mrzDOI56keyu17e957578O1iQHLe9IWtFwbM/dtn3YzFc1mLxlZ19gd9LK4rtJq1jnkDI+j7I9r1yFoZca62zc0VgI83ySVgOWt31N4VKmLA+ET8j2oTNVy7DlnL6nAJeRIirOt31tyZqaXyHUYgBzzRc/s8w/c46BASStSRvb/FoMYH7Q9jGlixiyZgKYW37Na2FAoZ9WQ5hb09rzlF0n6fXAnLz66R2klRrVyRlIH88DWmd2jktalXRuWx3bfweOBo7OeTQrkra73F22sqlreRWrpA3zl7flz0+WtCzwa9sPFiprYK2FMHcHYufQ4qpDsoHP276rdBHTwfaWeUXkJqT/gz+QtJztSbNap1PzA0KkmZW1G1gC3QkMm+wNp7rZr4lI+n+knJATbNc62PBB4EfAKpK+RurUsHfRioZjN9Jj67SdPy8fq9kZkvYnPabu7SA1h0p/WNJjgHcxFsB8UNmSBjNBd5p7SPuxj8sXGlWQdC/9X8873YOq7qIBbEwDIczxPFXpAOD9pNfyU4CzgA8VrWhAts+UtCKpw9NupNnl703+r0ZfDipuIZer5Y5cRwMbAteQXvfWyV8/XtJbbdfauXlnxkKY9+mEMBeuaZF1hWSvmBsndYdk15z1dKOkO0iD+RcAF9r+38I1DYWkLYAX5o8VSFEi5xetqa1zgAXl/KBdbP+1dC2DmqjLREeN3SYmImlH0qzlerb3LF3PVEl6PPAC0gv0xbbvLFxS6EPSzX0O23a1gXwtknQ4sBJjgZ27Ar8HliYtj35DqdrCeJK+DbzDdgsXe82K52m0SXo0sBPwemAt0iDQrrarXO3ZutY6cgFI+gbwIds/z7efDRxMGmT9bq0d1CRdavt5kq4gNam4F7jO9nMKl7ZIJB3IWEj2bxkfkv0F20eWqm1QOd9zs66PlYCLgQtsf6JkbYOQ9BBpEPmjpK6exbsrzoYBoVNJI8DVBzA/kq4LFXdmaE7XMttu91D/MtsWA5ib0fjS9fNsb9nvmKSf13Yi17J8YbQ+KdSymRDm1rT4PDW2kvB+0nPzn8DPbFvSTTFZMZok3Qhs2lldnFdsXGx77bKVTZ2keb2DPp1j/e6rhaSjgf8AXkdaSf1XYF6t3a0aDMkeJ8duvIrUEfgptpcuXNKU5fDvzYEtSdvGHgYusv2BUjXNhi1jp+ePFjTbmSEveXwjC7bIrrk7Q6vLbL9NCrc8ga4A5prlWbx/Jb04Q+pOc1xnlq8yI9fOcohWkrRq5/Uv52ismO8rPsMSxjmkdAHhETmkdAHT4CYWXEn4B9IKmy8ANa0k7FywHgN8XdI3F/L9oaymOnJlN0o6BvhGvr0r8L+SlmQsq7A6tvfPXx4r6UdUGsIsaRPgts5gkKQ9gdcAvwYOqTX6IDc72AzYFFiF9Lp+MSm39MqCpQ3M9t2SbiI9rqeSHufiJWtqfoVQS1ruzJCXrd9AWhZ9GOkx/sL2gUULG0DDy2wX6DJWO0knkF6MO+HFbwAesv2mclWFXpJeRRqM/BVpkHV1YH/SAN6bbX+uXHUhhFHQ4kpCSWuQsoNeBzyDnOPXSqZGS1rryJWbo+xPmngWKXj5aODvwDK1RnL0C1yuMYRZ0pXANrb/LGlL0sDdAaSVn8+yvXPRAqdI0sOkgZ/PAP9t+2+FSxoaSb8CbiT9LZ1Pep0oOqnZ7IBQ6wHMrXRm6Oi0h+20hs2P76yatyE1vMz2EOCPNBTALOlq2+st7FhNWto20S3PSj6TdGJ6Q62Po1WzIIS5CS0/T5J+Aby8ZyXhj2w/W12t6Gsl6bmkwaFdba9Zup4wptWogJZ0hTDPJXV46g5hPtP2swqVNiXd56qSjgLusH1Ivl3ztcbKjGUHPY+0q+lK4CLS9qqbCpY3EEmL2X544d85c1reMrZt6QKmU0OdGTo6y07vlrQOKSh2tXLlDEWTy2xJWxMhrXbqMFBzpsFDkta0/SuYPxtb+3a4lrZNdNuIsfyqdSVhu8o2sf1I+h/S68NRtr9fup5FZfvRpWuYCfE8jbR3AT/Ls7DzVxIqtcr+8qT/sgK2rwWuJW0nC6OluagASZuTtr09jfG5kbWe8+3HWAjzFYwPYT6qVFEDmCPpUXnA8SXAW7ruq/Y6P6+s+27+QNIypF0yh5Je0+eUq25qujM+JS1wf8mMz2r/ozwCt0YAc1WOz+F7HyBlPi0H/FfZkga2N2mZ7b8xtsz23aSLiGo7TthevXQN0+BgUkbXTaTn6mlAlcGCXTbo2TZxRve2iWJVDUDSyaTug/MYG7Az0MyAELAn8CRSd8IwuuJ5GlG2fyjpGfRfSRjbSsN0ugV440RRAaR4h9p8ETiINHhS+0QZtg8HDm8ohPkU4FxJdwL3k9uXS3o6aXValSQ9hpQf1FkltAHwS+AMUhv6GnUyPjcHng10MuF2If19FdPylrFzgIUGMNs+qUiBIVSqsQDm+fLKrbXJFxDAtrZPLVvV1LW4bSI/pmfHQH4IoZekF9v+qaR/6Xe/7e/OdE1hdmkxKkDSJbafv/DvrENXCPPv8+3qQ5glvYA0QXG27fvysbWA5WxXGcAs6Q5SiPSF+eNS2/eXrWo4cuj8yzrXTfm66mzbxRYLtLxC6BWkpWWnSOoXwPzZWgOYWyJpD9tflfTOfvfb/sxM1zQoSd+y/dqJcqxqz68idTtZnLQ0GtLWo2OAqgOYbf+DtLQbAEmfJQ0q16rFbRPXASvTwHbZSV4nOhkutb9ONCGep6psBfwU2K7PfSZvPQhhGrUYFTBX0idJfz/duZFVDjQAxwHbAOQQ5o8xFsJ8PFBdCLPti/scqzpw3vZKpWuYRk8GHg10Bh+Xy8eKaXaFULfWAphbImk/28dJ+mC/+20fOtM1DUrSk2z/TtLT+t1v+9czXdMwtRjA3I+k22yvUrqOQbQWwJxnVdYHLmX8ien2xYqaotZfJ1oRz1MYBX1yXDoDkrXmuDSpxY5c+X23l2tt+tJqCHOLJO0FHEhavQ/wC+DztedGStqH9Hre+dvairQ6rdhk7awYEAohDE9ucblLTwDzd2z3665RLUm32l61dB2DkLQZYwHMAFUHMEvaqt9x2+fOdC1h0dQewjxb1Pw85a0fE7Htk2esmCGTdAN9clxs/6lYUSFUSNJ1wPq2H8x/V2+xfV7nPtvrlK0wwPzX84OAd5K6i4kU2P5J4PCaz2Vhfhe1zlbMSzpbGEtpectYqICkz092f8nE9amSdDN9thbkr91Am9hmApgn2tZHelxPnOFyhqqlAGZJz7R9g+1zJS2Zt/d17qs61DfXfwTwLGAJ0rbm+2pu+z2BqkOYcy7Nx4EnkF4fqm/PPoGan6dN+hwTaQvZU4BqB4SAe2yfWbqIMLmWOnK1GOmQNRnC3KD9gZ1s39J17KeSXkPaklnjuWzvxPlt+fOTJT255DbMGBAKpXVS1UcucX0AG/fcXgx4LanD2FUzX85w2f5J7uAyLoC5bFVTVmvdj8TGtBPA/HXSzBDARV1fw1ib31odCbwO+DbpOdsTeHrRiqaB7duB26n3df0TwHa2f1G6kOlU8/Nk+4DO10o9fXcH3ksKJv1IqboG0XUB0VqOS6ta6si1bP786D73VXteYfsjkn7CWAhz57EsRsoSqoqke5nk+ah40mL5nsEgAGzfIqnWx/TpSe4zUGwbZgwIhaI6+yUl7Q1s3ZW4fix1tuecv4Rb0mKkwOWDSas0Xm37+pK1DUtDAcy3LmzARJIqHVRpJoCZNPDY7+t+t6tj+5eS5th+CDhR0oWla5qqhkOY/9DSYFCrz5OkRwF7k0L1LwF2tn1j0aIG03sB0T3hVPQCIvTV0kquH0D/LE9J/YLbq9FSCLPtRwNIOgz4PWklZGdAvN9gXi0m6yhWZbcx21vna8NNbV9Qup5uMSAURsXIJa5PVQ4x35c0S/QzYIdO3k7Dar0onyvpVOA05/bsAJKWIIVC7kUKfTupTHkDWRG4XlL1AcyMv2DtHZyrcbCu29/y/7d5kj5BGsBbdiH/ZpQdmD83sfquq4X55ZK+Cfw34/+eau1c1dTzBCDpbaTH9RPgFS0EfnfaEEtaw/ZN3ffl/L4wWlpayfUTSS/vXaWRA3H/EzijSFVhIi+3/fyu28dIuoS0urVGz5J0TZ/jAqp97bP9sKRPAZuWrqVbhEqHkTCKietTJek3wIPA54Bbe++v+AJiQrUGMEtaijR4tzupLfvdwFKkHJezScGq88pVOHUtBTBL+iNpz7hIbXw7LX0FvNZ2tXlPuXvVH0j5QQcBjwGOtv3LooUFACSdOMndtr3vjBUTJiXpYeCPwB00tOoJUjOH3sYNkq6wvVGpmsKCWurIJelVwOHAq2z/Xz7278DrgVfa/k3J+sJ4eWXxUaTzIwO7AW+zvVnRwqZoos6eHTUP+Es6lLTL4rujsgMhBoTCyBi1xPWpknQSE69aqPYCYiEBzGvZXnKGSxqqvLJrReB+23eXrmeqOgHM+esFApj7LZUedbn16IRqHDjullcIPZP093Wj7X8WLmlgsygsu2othWW3eAEh6ZnAc0iz/Ad33bU8cLDt5xQpLMwKkl4CHAfsCLyJFNy+re27ihYWFiBpNdIA3uakc4kLgH/rl8NTO0kX2N68dB1TlXOfliXljN3PCLzvxoBQGBmSnsKCnRnOK1dR6NbiyXaLumeSe2eV+80yh7IkvRo4FvgV6aRgdWC/2nMoJF1On7Bs2+8vWtgiarETZjdJv6SRsOxHkvdWWyacpB1IF+PbA6d33XUv8A3b1eaNtaThjlxI2oK0VfZC0orcvxcuaSANhzDPGpJus71K6TpaEhlCYSRI+jhpK8jPgYfzYQMxIDQ6Wg5gbknTAcwN+jQpUP+XAJLWJIV5Vj0gBM2EZVfXbWsRtRSW3VwmnO3TgNMkbWr7otL1hAk115Gra+BEwJLAS4A/5g5+Va4ihHZDmCWtBRwDPNH2OpLWBba3/eHCpU2HKv+muknaHtgy3zzH9veL1hPXbmEUSLoRWLd7e0sYLZLOIXUSm/Rk2/ZJRQoMQKwQqo2k82xv2XVbwLndx2ok6TxgG+AE0kn374C9ba9XtLABSVrW9n2l6xhUV1j2VqRuhNWHZTeeCXcifS6Cat2C3hpJT50oU0fSdrYjgHnESLqkJ4S577FaSDqXtK30ONsb5GPX2V6nbGVT0/UetcBdwLG2V5rJeoZJ0sdI2y+/lg/tBlxh+32laooVQmFU3AQsTtcJaRg5ryCdbJ8iqd/J9mdrPdluzFPzNhd1fU2+/ZRyZYVuXSc7P5f0Q+BbpAu+XYDLihU2PG8AFgPeTgrLXgV4TdGKBiBpU+CLpA6Yq0paj7S1b/+ylU1Zd9vovwEv67ptUpekquStLEcDR7eSCdele/Z4KWAn4PZCtYQFRUeu+jwkaXfGhzA/VLakgSxj+9I0pzTfg6WKGYLtJrmv6GqaIXgVsL7thwEkfRm4Cig2IBQrhMJIyMu81yO1i+2epaw6n6GbpI2B39n+belaBtXgyXYzWg9g7iZpf+BPwKm2qzrxmQ3dq1oKy87te3cGTm9h9jXUTdJiwP/U2L2qRdGRqz6thTBLOpM0AfNt2xtK2hl4o+1XFi4t9JB0DfAi23/Otx9H2jZWrBNmrBAKo+J0xgcmtugAYF1J/2t719LFDML2A6QtIGHEtDTg8wiItF1xd1LoajVs71O6hunULyxbUtVh2bZv65l9rXY2ufWw7FngGcCqpYsIie0fSvoHcKak7o5cW0ZHrtGUB352KF3HEL0NOB54pqTfAjeTzo2qJWkO8Fjbd+bbSwB7AwfZflbJ2gb0UeAqSXNJ50dbAv9esqAYEAojYTZcxNreC0BStaF1IYwS20eVrmFQefvlAcBqjO+wWNUAVx+thWXfJmkzwPmk9B1AzWHMrYdlN6Un4NekXK73Fi0qjGP7J5L2Bs4hdeR6Se0duVrWYAizbW8jaVlgMdv35vOLKkl6HXAccJ+k/wMOIQWAX0alA115sPhC26fkXNZNSK/p77X9+6K1xZaxUJKka5m8/WOx5XODkrQ5MM/2fZL2ADYEDo/27CFMjaQlSTk0qzF+8OSwUjUNStLVpGyaaxnrsIjtc4sVNQSthWVLWpG0vWAb0gnc2cCBtv9UtLAhaSUsO4QS+nTkeoC0grDajlytt2dvMIR5gaYhkq6wvVGpmgYh6Tpgx9ytdEPgIuB1tr9XuLQpk/QdYFNSbt8FpIHjC2z/vGhhxAqhUN62pQuYRscA6+Xw0feQLvq+QurqEkJYdKcB95BWN7QSQP9325Nu36lJq2HZecl6lbOSk2kwLLtZo9amOIzptDJvSavt2bs0EcIs6ZnAc4DH9HTmWp4UQF+rf3ZWGNu+UtLNNQ8GAdjeGebnV22WP/aTtCpwme1XlaotBoRCabd6IcvUJGlh3zOiHrRtSTuQVgZ9cWGBvyFMl5oDmLs81fYrShcxZIdL+iBpxUl3oP6V5UoaSHdnkD8wNgB+B/DYmS9ncJK2Jm3rWzsf+gVwpO1zihU1PJ8DXk7O8LN9taQqV3G1rE+b4gMlbW67aO5EmBVe3tOK/Zgcsv+JUgUNyZ15K7MBcghzjdmYa5Mm11dg/PvvvcCbi1Q0HE+Q9M6u28t137b9mQI1DYXtWyQtBSydPzpfFxMDQqG0ubnD2Gm2b+0czBkNWwB7AXOBk8qUN5B7c5eJNwAvzOFoixeuKcxe1QYwd7lQ0nNtX1u6kCF6Luk14sWMbRlzvl2d1sKyczj2kcBhwKGkv6MNgS9JervtH5asbxhaCstu2ERtimNAKEy31tqzdzQRwmz7NOA0SZvavqh0PUP0BcavROu9XR1J/0HaMrYScCNwMen84i22i/5NRYZQKCqPkO5LehFeHbibNFI6hzRjfpTteeUqnDpJK5Najl5m+/y8JPBFtr9SuLQQqiTpeuDppBO3fzCWz1Bz1tgNwLo1t2Tvp5Ww7Bz8eKDtq3uOrwscYbvqLcA50+AzpJPSF5DCsje2/bqihYVxRrFNcZgdWmvP3iFpdds394Yw2765dG2LQtJ7bH9C0hH0yXyKjpGjI5/v/RX4Pik/6BLb95StKokBoTAyJC0OrAjcb/vu0vUMg6QnkpZ5A1xq+48l6wmzR6MBzE/rd7zmoHZJ3wQOaO21oZWwbEk32H7mot5Xi9bDslshaTfgY6QV0/PbFNv+RtHCQqhUKyHMkrazfcZEkRQ1d3GW9ErSKshnkwa7rgc+XvPK3DyY38kPegEpv+9qUvexE4vVFQNCIUwPSa8FPklqQSrghcDBtr9Tsq4wO0j6EWMBzPOXotr+dLGihiCH3r4w3zy/d+VGbfIKlHVJgcvdGUJVraTpJemSntyJKk12gVDjxUOol6QnMX6CqWib4jCm5Y5crbVn7wph/gSpy1jH8qRz9OcUKSyMI+nNwH6kpjyX58MbkwbGT7B9fKnahkHSo4CNSIP7+wGr255TrJ4YEApheuQZ8pd2Zv4lrQT8j+31ylYWZoOa26dORNKBpJDE7+ZDOwHH2z6iXFWDkdR3y1FtK2l6SXo98AwqD8uWdDdwXr+7gC1sVxmUDc2HZTchr4q8u7OtID9nOwK/Jj1XTW01rd1EHblsVxvA3GB79h1If0Pbk8P0s3uBb9i+sEhhA8oDd+9mwVXhVeYR5oiALTrbZLuOPx74me1nlals6nKnyM1I2y+fA/yctHXsQtIKoTuK1RYDQiFMD0nX2n5u1+3FgKu7j4UwXSQdT8o4aSaAOedobGr7vnx7WeCiyNEYPZI+SgrL/hVdYdm1nZxONGDXUevAXU9Y9pWMhWX/J9BEWHYLcjennWzfLml94H+Aj5JWFT5g+01FCwzj9FsZWftqSUmX2d5E0lVdA0LzbK9furZBtBbCnCehj2XBVeFXFCtqAJJ+MdGgz2T3jTJJ3yUN/lwAXDFKA/rRZSyE6fMjSWcBp+TbuwJxkh1myhbA3pKaCWAmPYbuTgwP5WPV6tlqsASpE+F9NW8xyHYC1hilE56pqHXA5xE4GNixZ8vlPEmXA0cQ71WjYmnbt+ev9wC+ZPvTeYKpyoYbjWuxI1cr7dmBsRBm4PU5m2ucikOYH7R9TOkihugvktbr09BhPdJqrhq9xgtZiSNJC/ue6RADQiFME9sHS3oNaWmgSFtbvle4rDB7vLJ0AdPgROASSZ2/ox1JwcXVsj2ujaqkHYHnFSpnmK4GVgCaCstuyMr98rdsX5ObIYTR0D3g/WJym3nbD0tVj4W36vWkkPbDGevI9fqiFQ2uifbsXX6RP18+6XfV5wxJ+wPfY/w27T9P/E9G2ruA0yWdSFr1ZFKG2l6kwfEazZV0KnCa7Vs7ByUtQZrE3YvUOOCkmS4stoyFEEKjWgtgBpC0IemNU8B5tq8qXNLQSbrY9gtK1zGIVsOyWxFh2XWQdDjwJNKKjO2BtWw/kAOmz7C9cdECQ/Naac/eurwavJdtrzHjxQyJpJWB/Ul5OyJl7hxVa6C+pKWAfUkDqqsDdwNLAXNIeYtH2S6y8jMGhEKYJhN0nbiHNCvxLts3zXxVYbZoKYA5t+mcUMUzYEj6l66bi5G6aGxle9NCJQ1Fa2HZktZo6TW75bDsligtA9qVNCj0Ldu/zcc3AJ5g+6yS9YXxWuvIBe20Z+/VWghza/Jq6Qs7jXlaI2lxYEXgftt3F68nBoRCmB6SDgVuB75OOsl+HbAycCPwr7ZfVK660LqWApjzzJdJf0erAnflr1cAbrW9esHyBpKXQ3c8CNwCfKHVk6BaSToPeAppxdN5pBV31Qa2txqW3ZpHkidRKnMiLKiljlytt2dvJYS5Z1IJ0rnSncA827Vm7SDpO8CmwN9IWy8vBC6w/fOihTUqMoRCmD6v6OkscXzeCnKYpP8oVlWYLZoJYO4M+Eg6Fji90wFJ0iuBbUrWNijb+5SuYTq0FpZte8u8z38T4EXADyQtZ3vS1WujKgZ8qjGymROhr2VsX9qT7/RgqWIGtDawLWniZbuu4/eSVh/XrpUQ5u36HHscsK6kN9r+6UwXNAy2d4a0ZZE0MLQZsJ+kVYHLbL+qZH2tiQGhEKbPw5JeC3wn3965676YzQvTrbkAZmAT22/t3LB9pqQPlSxoqiR9frL7K+50ArQXli1pC1Ie1wtJF0jfB84vWlSYDV5Bypw4JV8Y9WZOfLZU5kToq5mOXLZPA05rrT17lyZCmCeaVJL0NOBbwPP73V+LnF+1JLB0/lgqfw5DFFvGQpgmktYgdZrYlHRycDFwEPBbYCPbPytYXpgFWgtglnQW6SL8q6S/qT2ALW2/vGhhUyDpn8B1pBO22+lZvWX7yyXqmk41h2VLeoiU//ZR4Ie2/1m4pDDLjFrmRFhQPu87nrSa4S5yRy7bvy5a2BR02rNLOoI+k5i1T1q0GMLcq1/+Uy3yTopNgZVIURsX549rbD802b8Niy5WCIUwTXIAab+lnAAxGBSmRU8A8y35Y/59tc1+9dgN+CBpRg9Slstu5coZyJOAXUiBsQ8C3wROtX1X0aqGZIKw7JpnoB4PbA5sCbxD0sOkTK4PlC1rMK2FZbfM9gNUutpkFrHtbXo7cpUuaopabc8OjG1Fb5Wktela+VShPYG/klbjXghcYvuesiW1K1YIhTBNcnvBN5JC+ZbqHLe9b7GiQvNaDmBulaSnkAa23gm81/bJhUsaWIth2ZKeBWxF2ja2GenvadJw5lHXWlh2CCW12pGrJa2FMEs6gwUnWx5HmnTao+btfnmCc7P88QJgOeBqUvexEyf7t2HRxAqhEKbPycANwMuBw4DdGZtxCWFatBzA3GKb2LytbzfgpcCZpI4n1WstLFvSr0jL1n9G6kyzTwvbxloLyw6hhK6OXI/pGXBYnq4JwRo1+L7bWgjzp3puG/gT8H+1v0flFe3fl/QjYCPSCt39SLna5lr9AAAKWklEQVRqMSA0RLFCKIRpIukq2xtIusb2unn//1kVv4mGivSblZR0ue2NS9U0qFbaxAJIOpTUweUXwDeAH9mutRvNfK2GZUtazPbDpesYtj5h2fNIq4ROKVpYCBWRtAOpccP2wOldd90LfMP2hUUKG4KW3ncn0wlh7ukOPPIkyQu5mH8k3zNqJG1PWhm0OWmw9eekrWMXklYI3VGwvObEgFAI00TSpbafl5fk7w/8Hri0pcC6MLpaCmDuaGnpfc6guQm4Px/qvBmLlEOxbpHCBtRqWHaeJT8GeKLtdSStC2xv+8OFSxtIhGWHMDwtduRq6X13YWoMYZZ0DnAqcJrtW7uOL0FqKrIXMNf2SUUKnCJJ3yUN/lwAXBHvTdMrBoRCmCaS3kR6kX4ucBJp7+sHbB9Xsq4wO+S91x8kLbGFlA9yaM2h0pIOAf5I5W1iYf5s5IRq7EoDIOnxNBiWLelc4GDgONsb5GPX2V6nbGWDkbQCY2HZmwBNhGWHMJNa7sjV0vvuZHII80m2Ny1dy6LIeaX7kmIpVgfuJm1TnAOcDRxle165Cqem1ZVPoyoGhEKYQZJeY/vU0nWEUKOW2sTOhpOdlsKyJV1me5POVuB8bJ7t9UvXNqgWw7JDmEmStrN9hqS9+t1f68pIaOt9F5oPYV4cWBG43/bdpesZRKsrn0ZVDAiFMIMk3Wp71dJ1hPY1GATZlNZPdnrCsq8APm37+rJVTZ2kM4G3A9+2vaGknYE32n5l4dIG0hOWfT6ptW8szQ8hNElS72B3MyHMLWl15dOoigGhEGaQpNtsr1K6jtC+FoMg8+zXvzK2De4c0haeB4oVNUWtnuw0HJa9BnA8aQXNXcDNpNnkW0rWNahWw7JDKKGliZjW2rN3zIbVua1paeXTqIoBoRBmUKwQCjOlxSBISScAiwOd5fdvAB6y/aZyVQ2upZOdVsOyOyQtCyxW8wVRt1bDskMooaWJGEn92no/DliXtDqytvbsQPurc0OYihgQCmHIJF1Ln1BB0gXRWraXnOGSwizUYhCkpKttr7ewY6Gc1sKyJe052f22vzJTtUyHVsOyQyihxYmYXrW2Z+9odXVuCIN41MK/JYSwiLYtXUAIpFkuSBd7HQaqDILMHpK0pu1fwfxtPA8t5N+EmXVrY8vxN+lzTMB2wFOAqgeEgGVsXyqp+1j1W/xCKOQMSfvT0ERML9u/zqtaq2T778DRwNEtrc4NYRAxIBTC8LV2QRQqZHv10jVMg4OBuZJuIl2UPw3Yp2xJocdcSQtdjg+cVKa8RWP7gM7XSqMmuwPvBS4GPlKqriG6U9Ka5FWtOSz7d2VLCqFaLU7EjJPbs/9jod9YgZw/GK93YdaLLWMhDFnsTw6joKUA5m6SlgTWJg0I3QBsa/vUslWFjhaX40t6FLA38C7gEuCjtm8sWtSQtBqWHUIYTMvt2UMI48WAUAhD1uIFUahPqwHMvSKofXS1sBxf0tuAA4GfAB+rLQPpkWotLDuEmdRiR65ozx7C7BEDQiFMoxYuiEKdZksAs6TbbK9Suo7Qptw17Y/AHYyfLa+6a1rrYdkhzKQWO3JFe/YQZo/IEAphGsX+5FDQbAlgjpPRMJ1azOKC9sOyQ5gxtvtm2XU6cgE1duRqKg8uhDCxWCEUQggNkvQS4ERgXACz7blFC5sCSdfSf+BHwFq2l5zhksIsMRtmyXvCsq8HPmL7mrJVhdAGSVfa3rB0HYsq4g9CmD1iQCiEEBrVSgBznmWdUKu5LqG8lpsEtByWHcIoyB25TrK9aelaBhHxByG0LQaEQghhlqg1gHk2rNIIo6nVWfLZEpYdwkyIjlwhhJrFgFAIIcwStQYwt7xKI9SjpVnyVsOyQyghOnKFEGoWA0IhhDBLVLxCqMlVGiGUEtswQxieWMUaQqhZDAiFEEJDWg9gbmmVRgilxAVsCMMTq1hDCDWLAaEQQmhIzPyHEBYmLmBDGJ5YxRpCqFkMCIUQQkNi5j+EsDBxARvC9IhVrCGE2sSAUAghNCRm/kMIiyIuYEMIIYTZKwaEQgihITHzH0IIIYQQQngkYkAohBAaFTP/IYQQQgghhInEgFAIIYQQQgghhBDCLLNY6QJCCCGEEEIIIYQQwsyKAaEQQgghhBBCCCGEWSYGhEIIIYQQQgghhBBmmRgQCiGEEELVJK0m6boh/8y9JT256/YJkp49zN8xTLXVG0IIIYTyYkAohBBCCFWQ9KgZ/HV7A/MHWGy/yfb1M/j7F9Xe1FVvCCGEEAqLAaEQQgghTIvelTuS3i3pEEnvkHS9pGskfSPft6ykL0m6TNJVknbIx/eW9G1JZwBnP4LfuZSkEyVdm3/O1vn4HEmfysevkXRAPv5f+XdeJ+l4JTsDGwNfkzRP0tKSzpG0cf43u+Wfc52kj3f97r9K+oikqyVdLOmJfeqb7HH+t6QzJN0s6e2S3pm/52JJj8vft36+fY2k70l67HTWG0IIIYR2xYBQCCGEEGba+4ANbK8LvDUfez/wU9ubAFsDn5S0bL5vU2Av2y9+BD/7bQC2nwvsBnxZ0lLAW4DVu37v1/L3H2l7E9vrAEsD29r+DnA5sLvt9W3f3/nheVvWx4EXA+sDm0jaMd+9LHCx7fWA84A396lvsse5DvB64HnAR4C/2d4AuAjYM3/PV4D35sdwLfDBaa43hBBCCI2KAaEQQgghzLRrSKtZ9gAezMdeBrxP0jzgHGApYNV8349t//kR/uwtgJMBbN8A/BpYC9gGONb2g/m+zs/bWtIlkq4lDZo8ZyE/fxPgHNt35J/1NWDLfN8/ge/nr68AVuvz7yd7nHNt32v7DuAe4Ix8/FpgNUmPAVawfW4+/uWu3z1d9YYQQgihUTO5Fz+EEEIIs8uDjJ98Wip/fjVpUGJ74AOSngMIeI3tG7t/gKTnA/ctwu/UJMfd87OXAo4GNrZ9m6RDumpc1J8P8IDtzu94iP7nWZM9zn90HXq46/bDE/ysR2LQekMIIYTQqFghFEIIIYTp8gfgCZIeL2lJYFvSuccqtucC7wFWAJYDzgIOkCQASRtM8XeeB+yef8ZapNU3N5Lyh97aCabOmTydwZ87JS0H7Nz1c+4FHt3n518CbCVpRUlzSNvSzu3zffNJ2knSR/PNKT9O2/cAd0l6YT70hq7fPbR6QwghhDA7xExQCCGEEKaF7QckHUYalLgZuAGYA3w1b38S8Fnbd0v6EPA54Jo8WHILaQBpUR0NHJu3gD0I7G37H5JOIG0du0bSA8AXbB8p6QukLVm3AJd1/ZyT8s+5n5Rh1HlMv5P078DcXP8PbZ+2kJrWBP6Svx70ce6V61oGuAnYZxrqDSGEEMIsoLGVwiGEEEIIYdgkfRU4KGcDhRBCCCGMhBgQCiGEEEIIIYQQQphlYstYCCGEEKog6bnkDmJd/mH7+SXqCSGEEEKoWawQCiGEEEIIIYQQQphlostYCCGEEEIIIYQQwiwTA0IhhBBCCCGEEEIIs0wMCIUQQgghhBBCCCHMMjEgFEIIIYQQQgghhDDL/H8RNkbSC/fzdQAAAABJRU5ErkJggg==\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}